UA-FedRec: Untargeted Attack on Federated News Recommendation-Reference-Cited by-同舟云学术

UA-FedRec: Untargeted Attack on Federated News Recommendation

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Yi Jingwei¹^ORCID,Wu Fangzhao²^ORCID,Zhu Bin²^ORCID,Yao Jing²^ORCID,Tao Zhulin³^ORCID,Sun Guangzhong⁴^ORCID,Xie Xing²^ORCID

Affiliation:

1. University of Science and Technology of China, Anhui, China

2. Microsoft Research Asia, Beijing, China

3. Communication University of China, Beijing, China

4. University of Science and Technology of China, Hefei, Colombia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599923

Reference49 articles.

1. Muhammad Ammad , E. Ivannikova , S. Khan , Were Oyomno , Qiang Fu , Kuan Eeik Tan, and A. Flanagan . 2019 . Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System. ArXiv , Vol. abs/ 1901 .09888 (2019). Muhammad Ammad, E. Ivannikova, S. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, and A. Flanagan. 2019. Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System. ArXiv, Vol. abs/1901.09888 (2019).

2. Mingxiao An Fangzhao Wu Chuhan Wu Kun Zhang Zheng Liu and Xing Xie. 2019. Neural News Recommendation with Long- and Short-term User Representations. In ACL. 336--345. Mingxiao An Fangzhao Wu Chuhan Wu Kun Zhang Zheng Liu and Xing Xie. 2019. Neural News Recommendation with Long- and Short-term User Representations. In ACL. 336--345.

3. Eugene Bagdasaryan Andreas Veit Yiqing Hua Deborah Estrin and Vitaly Shmatikov. 2020. How to backdoor federated learning. In AISTATS. 2938--2948. Eugene Bagdasaryan Andreas Veit Yiqing Hua Deborah Estrin and Vitaly Shmatikov. 2020. How to backdoor federated learning. In AISTATS. 2938--2948.

4. Gilad Baruch , Moran Baruch , and Yoav Goldberg . 2019 . A Little Is Enough: Circumventing Defenses For Distributed Learning . In NIPS , Vol. 32 . Gilad Baruch, Moran Baruch, and Yoav Goldberg. 2019. A Little Is Enough: Circumventing Defenses For Distributed Learning. In NIPS, Vol. 32.

5. Arjun Nitin Bhagoji Supriyo Chakraborty Prateek Mittal and Seraphin Calo. 2019. Analyzing federated learning through an adversarial lens. In ICML. 634--643. Arjun Nitin Bhagoji Supriyo Chakraborty Prateek Mittal and Seraphin Calo. 2019. Analyzing federated learning through an adversarial lens. In ICML. 634--643.

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